That didn't take long -- just days after its first test fire, the Liberator, a 3D-printed pistol designed by Defense Distributed founder Cody Wilson, has caught the attention of the federal government. It's hardly a surprise: the arm's blueprints were downloaded more than 100,000 times since going live on DefCAD this week. It's not the amount of downloads that's causing trouble, though, it's who is downloading them. In a letter from the US State Department, Wilson was told that it's a violation of the International Traffic in Arms Regulations to "export any defense article or technical data for which a license or written approval is required without first obtaining the required authorization from the DDTC (Directorate of Defense Trade Controls)."

The letter goes on to explain that these downloads legally count as exports under the law, telling Wilson to remove the plans from public access immediately. "That might be an impossible standard," Wilson told Forbes. "But we'll do our part to remove it from our servers." As it turns out, most of the gun's downloads were served via Mega, making full removal near impossible. Still, Wilson seems optimistic about the situation, explaining to Forbes that conversation will help mold the discussion on 3D printed weaponry. "Is this a workable regulatory regime? Can there be defense trade control in the era of the internet and 3D printing?" We're looking forward to discovering the answer ourselves.

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Via: Vice

Source: Forbes

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While we've seen supercomputers break records before, rarely have we seen the barrier smashed quite so thoroughly as by Lawrence Livermore National Laboratory's Sequoia supercomputer. Researchers at both LLNL and Rensselaer Polytechnic Institute have used planet-scale calculations on the Blue Gene/Q-based cluster to set an all-time simulation speed record of 504 billion events per second -- a staggering 41 times better than the 2009 record of 12.2 billion. The partnership also set a record for parallelism, too, by making the supercomputer's 1.97 million cores juggle 7.86 million tasks at once. If there's a catch to that blistering performance, it's not knowing if Sequoia reached its full potential. LLNL and RPI conducted their speed run during an integration phase, when Sequoia could be used for public experiments; now that it's running classified nuclear simulations, we can only guess at what's possible.

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Source: Lawrence Livermore National Laboratory

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Every week, a new and interesting human being tackles our decidedly geeky take on the Proustian Q&A. This is the Engadget Questionnaire.

Time's technology editor-at-large Harry McCracken offers his take on OS agnosticism and the golf disconnect in our latest weekly inquiry session. A collection of responses to the rest of our tech questions resides on the other side of the break.

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Source: Engadget Distro

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